Brain gray matter abnormalities in osteoarthritis pain: a cross-sectional evaluation
| Autor: | Paulo Branco, Andrew D. Vigotsky, Thomas J. Schnitzer, Joana Barroso, Ana Mafalda Reis, Vasco Galhardo, A. Vania Apkarian |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
medicine.medical_specialty
Osteoarthritis computer.software_genre Article 03 medical and health sciences 0302 clinical medicine 030202 anesthesiology Functional neuroimaging Voxel Ophthalmology Humans Medicine Total joint replacement Multivariable model Gray Matter Lower anterior business.industry Chronic pain Brain medicine.disease Magnetic Resonance Imaging Cross-Sectional Studies Anesthesiology and Pain Medicine Neurology Neurology (clinical) Chronic Pain Brain Gray Matter business computer 030217 neurology & neurosurgery |
| Zdroj: | Pain |
| ISSN: | 1872-6623 0304-3959 |
| DOI: | 10.1097/j.pain.0000000000001904 |
| Popis: | The interaction between osteoarthritis (OA) pain and brain properties remains minimally understood, although anatomical and functional neuroimaging studies suggest that OA, similar to other chronic pain conditions, may impact as well as partly be determined by brain properties. Here, we studied brain gray matter (GM) properties in OA patients scheduled to undergo total joint replacement surgery. We tested the hypothesis that brain regional GM volume is distinct between hip OA (HOA) and knee OA (KOA) patients, relative to healthy controls and moreover, that these properties are related to OA pain. Voxel-based morphometry group contrasts showed lower anterior cingulate GM volume only in HOA. When we reoriented the brains (flipped) to examine the hemisphere contralateral to OA pain, precentral GM volume was lower in KOA and HOA, and 5 additional brain regions showed distortions between groups. These GM changes, however, did not reflect clinical parameters. Next, we subdivided the brain into larger regions, approximating Brodmann areas, and performed univariable and machine learning-based multivariable contrasts. The univariable analyses approximated voxel-based morphometry results. Our multivariable model distinguished between KOA and controls, was validated in a KOA hold-out sample, and generalized to HOA. The multivariable model in KOA, but not HOA, was related to neuropathic OA pain. These results were mapped into term space (using Neurosynth), providing a meta-analytic summary of brain anatomical distortions in OA. Our results indicate more subtle cortical anatomical differences in OA than previously reported and also emphasize the interaction between OA pain, namely its neuropathic component, and OA brain anatomy. |
| Databáze: | OpenAIRE |
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